染色质
表观基因组
计算生物学
生物
转录组
嘉雅宠物
表观遗传学
蛋白质组
表观遗传学
染色质重塑
遗传学
基因
DNA甲基化
基因表达
作者
Sarthak Sinha,Ansuman T. Satpathy,Weiqiang Zhou,Hongkai Ji,Jo Anne Stratton,Arzina Jaffer,Nizar J. Bahlis,Sorana Morrissy,Jeff Biernaskie
标识
DOI:10.1016/j.gpb.2020.06.010
摘要
How distinct transcriptional programs are enacted to generate cellular heterogeneity and plasticity, and enable complex fate decisions are important open questions. One key regulator is the cell's epigenome state that drives distinct transcriptional programs by regulating chromatin accessibility. Genome-wide chromatin accessibility measurements can impart insights into regulatory sequences (in)accessible to DNA-binding proteins at a single-cell resolution. This review outlines molecular methods and bioinformatic tools for capturing cell-to-cell chromatin variation using single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) in a scalable fashion. It also covers joint profiling of chromatin with transcriptome/proteome measurements, computational strategies to integrate multi-omic measurements, and predictive bioinformatic tools to infer chromatin accessibility from single-cell transcriptomic datasets. Methodological refinements that increase power for cell discovery through robust chromatin coverage and integrate measurements from multiple modalities will further expand our understanding of gene regulation during homeostasis and disease.
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